Tag Archives: CSharp

Monitor document conversion status and progress in C#

With the release of GroupDocs.Conversion for .NET 19.11 you can now monitor document conversion progress. There is one improvement and a few bug fixes introduced. A new property Listener is added. The document converter listener implementation is used for monitoring conversion status and progress. Have a look at ConverterListener class that implements IConverterListener interface Below is the usage Coming to the improvement, MPP to XLS conversion is improved. Previously, there was issue in PNG image conversion (e.g. PNG to Word or …

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Compare two documents – Control header and footer comparison in C#

Compare two documents but ignore or include header and footer content. Is this what you need in your document comparison application? Then you must try GroupDocs.Comparison for .NET. This back-end API can be implemented in any of your .NET application without any third party tool/software dependency. Those who are already using this API, we have some interesting features and few bug fixes introduced in GroupDocs.Comparison for .NET 19.11. Set output paper size A new property PaperSize is introduced in CompareOptions …

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Add Point Annotation in Documents using .NET and Java API

As all our records and documentations are facing a digital transformation. It has made it quite necessary for us to have a good knowledge of the tools that may help us in the long run. Annotation is one of those tools which may help you in adding the extra, yet necessary, piece of information into your documents. Annotation helps readers in understanding the text in a better way. It also helps different people working on the same task to exchange …

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Build your full text search solution in C#

There are two main steps to perform or implement full-text search. Indexing Search process Before we leap into the details, let’s get an overview of this technique. Full-text search is basically a more advanced way to search a text/query over a collection of documents in a computer. This approach quickly finds all instances of a term and it works by using text indexes. One of the examples of full-text search implementation is in Word processors and text editors. It helps …

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